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Jana KainerstorferView profile

Professor

• Biomedical Optics
• Neurophotonics
• Medical Devices
• +3 more

Jana Kainerstorfer is a Professor of Biomedical Engineering at Carnegie Mellon University (CMU), with courtesy appointments in the Neuroscience Institute and Electrical & Computer Engineering. She serves as Associate Department Head for Faculty and Graduate Affairs within the College of Engineering. Her research focuses on developing non-invasive optical imaging methods for disease detection and treatment monitoring, particularly in diffuse optical imaging. Key areas include cerebral hemodynamic monitoring in traumatic brain injury and handheld devices for breast cancer imaging. Dr. Kainerstorfer holds senior membership in the Optical Society of America and has received prestigious awards such as the NIH Trailblazer Award and AHA Scientist Development Grant. She leads the Biophotonics Lab, which bridges engineering and clinical applications, emphasizing translational research. Education: PhD from University of Vienna/NIH (2010), Postdoc at Tufts University Research Interests Her work revolves around biomedical optics , neurophotonics , and medical device innovation . Current projects include: Non-invasive cerebral hemodynamic monitoring Transabdominal fetal pulse oximetry Optical imaging in extreme environments (e.g., freediving physiology) Her lab develops tools like wearable NIRS for marine mammals and self-calibrating pulse oximetry algorithms. Research spans clinical translation and physiological mechanism discovery , with emphasis on microvascular imaging. Awards & Recognition NIH Trailblazer Award (2020) AHA Scientist Development Grant SPIE Fellow (2022) George Tallman Ladd Award (CMU) Lab & Collaborations The Biophotonics Lab collaborates with neurosurgery, oncology, and marine biology teams. Projects address clinical needs in neurocritical care and fetal monitoring, leveraging optical technologies for real-time diagnostics. Ongoing work includes: Optical assessment of cerebral metabolic rates Non-invasive intracranial pressure estimation Multi-modal EEG-NIRS fusion for neural source localization

Min ChenView profile

Assistant Professor

• Terrestrial Ecosystem Modeling
• Remote Sensing Applications
• Human-Earth System Interactions
• +3 more

Min Chen is an Assistant Professor in the Department of Forest and Wildlife Ecology at the University of Wisconsin–Madison, affiliated with the Russell Labs. His research focuses on terrestrial ecosystem modeling, remote sensing applications, and human-Earth system interactions. He holds a PhD in Earth & Atmospheric Sciences from Purdue University, an MS in Remote Sensing and GIS from Beijing Normal University, and a BS in Computer Science from Beijing Normal University. His postdoctoral work included roles at the Carnegie Institution for Science and Harvard University. Research interests include forest carbon dynamics, methane emissions from wetlands, wildfire risk analysis, and the integration of remote sensing with Earth system models. His work emphasizes advancing methods for global-scale environmental monitoring using satellite and drone technologies. Notable contributions include studies on forest edge dynamics, vegetation-climate feedbacks, and the application of machine learning in ecological modeling. Recent publications highlight advancements in leaf trait prediction using transfer learning, global wetland methane flux modeling, and the impacts of climate change on land-use patterns. His lab develops innovative approaches to track terrestrial carbon cycles and assess human-driven environmental changes. Ongoing projects explore urban land expansion effects on carbon balances and phenological shifts under global change scenarios.

• Macroeconomics
• Public Finance
• Income Inequality
• +5 more

Prof. Dr. Andreas Peichl is a leading academic in Economics, holding a Professorship in Macroeconomics and Public Finance at the Faculty of Economics, Ludwig Maximilian University of Munich. He is Head of the ifo Center for Macroeconomics and Surveys, and previously led the Research Group “International Distribution and Redistribution” at ZEW, Mannheim. His expertise spans macroeconomic policy, tax systems, income inequality, and public finance. Peichl’s work bridges theoretical frameworks with empirical analysis, focusing on policy implications for redistribution, fiscal sustainability, and labor markets. Education: PhD in Public Economics, University of Cologne Professorial appointments at LMU Munich (since 2013) and University of Mannheim (2008–2013) Research Interests: Peichl’s research emphasizes the interplay between tax policies, income distribution, and macroeconomic stability. Key themes include: Optimal design of tax systems to reduce inequality while maintaining economic efficiency Impact of fiscal policies on labor markets and household behavior Analysis of redistributive effects of social welfare programs Global and regional economic inequality dynamics His recent work explores post-pandemic policy responses, energy security challenges, and the political economy of taxation. Grants & Advising: Peichl has led numerous interdisciplinary projects funded by institutions like the EU, DFG, and ifo Institute. He advises policymakers on tax reforms, fiscal consolidation, and social security systems. Notable collaborations include the ECONtribute and EconPol initiatives. Labs/Teams: Directs the ifo Center for Macroeconomics and Surveys, fostering collaboration between economists, policymakers, and data scientists. The center produces real-time analyses of economic trends and policy impacts.

• Climate Change and Health
• Environmental Epidemiology
• Public Health Policy
• +5 more

Professor Hilary Bambrick is a distinguished environmental epidemiologist and anthropologist at the Australian National University (ANU), leading the National Centre for Epidemiology and Population Health. She specializes in climate change and health, focusing on adaptation strategies, vector-borne diseases, and urban resilience. Her work bridges research, policy, and practice, with significant contributions to global health initiatives like the WHO and UNDP. Bambrick has over 180 publications and $11M in research funding, addressing climate impacts on vulnerable populations, including First Nations communities and Pacific Island nations. She serves on the Climate Council of Australia and the Australia Institute, advocating for evidence-based climate policies. Her research integrates epidemiology, anthropology, and environmental science to enhance health resilience in changing climates. Education: PhD (ANU, 2003), BA (Hons), BSc, Grad Cert Higher Ed. Key Research Focus: Climate change health impacts, adaptation strategies, vector-borne diseases, urban design, and health equity. She leads interdisciplinary projects on climate litigation, heatwaves, and infectious disease forecasting. Grants & Funding: Over $11 million in research grants, including projects on bushfire preparedness, dengue transmission modeling, and climate-sensitive disease surveillance. Labs/Teams: National Centre for Epidemiology and Population Health (ANU), collaborating with global networks like the Lancet Countdown and MJA-Lancet Countdown.

Sarah GreenView profile

Professor

• Anthropology of Borders
• Social and Cultural Anthropology
• Mediterranean Studies
• +3 more

Sarah Green is a Professor at the University of Helsinki's Faculty of Social Sciences, Department of Social and Cultural Anthropology. Her research focuses on the anthropology of borders, livestock and microbial movements, and Mediterranean and Balkan regional dynamics. She has led projects such as "Crosslocations in the Mediterranean" and "Opening Pandora’s Box: Assessing The Risks of Permafrost Thaw" , exploring environmental and health intersections. As Editor-in-Chief of Social Anthropology , she has shaped academic discourse. Her recent work examines zoonotic disease control and nonhuman animal migration. She advises doctoral theses on topics ranging from Roma policy to digital intimacy in Egypt. Affiliated with Helsinki One Health, she bridges social and medical sciences. Education: Not explicitly detailed in texts, but her academic roles imply advanced anthropological training. Research Projects: Includes "InterEarth RESET" (climate change), "Trade, Transit and Travel in the Mediterranean" , and "EastBordNet" . Grants: Recipient of University profiling funding and Research Council of Finland grants. Her theoretical contributions include "Crosslocations" theory, analyzing spatial entanglements. She frequently participates in conferences like the American Anthropological Association meetings and contributes to editorial boards. Recent publications address border entanglements, postmodern gender theory, and Mediterranean geopolitics.

Kenneth M. RobertsView profile

Professor

• Comparative Democracy
• Latin American Political Economy
• Parties Systems and Political Representation
• +3 more

Kenneth M. Roberts is the Richard J. Schwartz Professor of Government at Cornell University, affiliated with the College of Arts and Sciences. He specializes in comparative democracy, Latin American political economy, and the intersection of populism, social movements, and inequality. Roberts holds leadership roles including former Senior Associate Dean for the Social Sciences and directorships in Cornell’s Latin American and Caribbean Studies program and the Institute for the Social Sciences. Roberts earned his Ph.D. in comparative and Latin American politics from Stanford University. His research focuses on democratic resilience, polarization, and crises of democracy globally, with a regional emphasis on Latin America. Notable works include Democratic Resilience: Can the United States Withstand Rising Polarization? (Cambridge 2021) and Changing Course in Latin America: Party Systems in the Neoliberal Era (Cambridge 2014). His academic engagements include visiting fellowships at institutions like the Institute for Advanced Study (Princeton) and the Scuola Normale Superiore (Florence). Roberts contributes actively to global democracy initiatives through the American Democracy Collaborative, analyzing threats to democratic institutions in the U.S. and beyond.

• Probabilistic Machine Learning
• Bayesian Models
• Statistical Inference
• +12 more

Luigi Acerbi is an Associate Professor in the Department of Computer Science at the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is also an active member of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS (European Laboratory for Learning and Intelligent Systems). His research focuses on probabilistic machine learning and computational neuroscience, particularly on developing efficient methods for statistical inference, Bayesian models of perception, and resource-constrained rationality. His work bridges machine learning and cognitive science, with applications in Bayesian optimization, simulation-based inference, and image completion. The recent publications highlight a strong trend toward unifying probabilistic conditioning across diverse tasks using transformer-based meta-learning frameworks like the Amortized Conditioning Engine (ACE). These works emphasize amortized inference, flexible latent variable modeling, and the integration of prior knowledge at runtime, enabling efficient and scalable Bayesian methods for complex problems. Scientific Affiliations: University of Helsinki, Department of Computer Science Finnish Center for Artificial Intelligence (FCAI) ELLIS (European Laboratory for Learning and Intelligent Systems) Education: PhD in Computational Neuroscience, Doctoral Training Centre, Edinburgh, UK Advisor: Sethu Vijayakumar and Daniel Wolpert Visiting work at Computational and Biological Learning Lab, Cambridge Postdoctoral Experience: Alex Pouget’s lab, University of Geneva, Switzerland Wei Ji Ma, New York University, USA Collaboration with the International Brain Laboratory Luigi Acerbi mentors PhD students including Daolang Huang and Nasrulloh Loka, and collaborates widely with researchers such as Samuel Kaski. He has contributed to open-source tools like PyVBMC and is involved in community initiatives such as the EurIPS conference. His work is supported by grants from the Research Council of Finland, Business Finland, and the UKRI Turing AI World-Leading Researcher Fellowship. He leads a research lab focused on amortized probabilistic inference, with ongoing projects including PriorGuide and Stacked VBMC, aiming to make Bayesian methods more practical and accessible for real-world scientific and engineering applications.

• Sustainable Development
• Environmental Governance
• Just Transitions
• +9 more

Professor Tavis Potts is a Personal Chair in Sustainable Development and Environmental Governance at the University of Aberdeen, affiliated with the Department of Geography and Environment within the School of Geosciences. He is actively engaged in research on just transitions, environmental justice, marine governance, and participatory planning. His research focuses on: Understanding just transitions and the social dimensions of climate and energy Marine resource governance and planning Participatory and community-based approaches to managing natural capital The political economy of environmental policy The blue economy and net zero transitions His recent publications highlight a strong trend toward policy-relevant research on just transitions, stakeholder engagement, and environmental governance. Articles and reports examine climate assemblies, community participation in net zero planning, nuclear decommissioning, and measuring equitable outcomes in transition processes. His work integrates social science perspectives with environmental policy, emphasizing democratic participation and equity. Key scientific contributions include commissioned reports for the Just Transition Commission and the Nuclear Decommissioning Authority, as well as peer-reviewed articles in journals such as Environmental Science & Policy and Marine Policy . He has led and contributed to projects funded by Interreg EU, NERC, British Council, and the World Bank. Professor Potts advises research students and leads the Just Transition Lab at Aberdeen. He holds external advisory roles with Aberdeen City Council’s Net Zero Delivery Unit and Aberdeenshire Council’s Climate Ready Aberdeenshire Board, demonstrating active engagement with policy and practice. He is affiliated with key research centers including the Centre for Marine and Coastal Zone Management and the Just Transition Lab, where he advances interdisciplinary work on sustainable futures and equitable environmental governance.

Sanjeev DewanView profile

Professor

• Information Systems
• Economics of Information Technology
• Digital Platforms
• +7 more

Sanjeev Dewan is a Professor of Information Systems and Associate Dean of Masters Programs at the Paul Merage School of Business, University of California, Irvine. He also serves as Faculty Director of the Master of Science in Business Analytics program. Prior to joining UCI in 2001, he held faculty positions at the University of Washington and George Mason University. PhD, University of Rochester MS, University of Rochester Bachelor of Technology, Indian Institute of Technology, Delhi His research focuses on the economics of digital platforms , social and mobile analytics , and the valuation of technology investments . He investigates how information technology creates business value, impacts consumer behavior, and influences firm performance. His work spans electronic markets, Web 2.0 technologies, IT productivity, and the digital divide. The most recent publications reveal a strong emphasis on empirical analysis of digital platforms , including studies on gender bias in open source communities, quality certification in the sharing economy (e.g., Airbnb), personalized ranking in app stores, and mobile health applications. His research frequently uses large-scale datasets to examine behavioral patterns, market dynamics, and the economic implications of IT innovations. Faculty Service Award for 2023-24, UCI Paul Merage School of Business Best Paper Award, INFORMS 2019 e-Business Cluster Faculty Service Award for 2016-17, UCI Paul Merage School of Business Best Paper Award, INFORMS Conference on Information Systems and Technology (2009) INFORMS Service Award (2009) INFORMS Certificate of Appreciation (2008) Beta Gamma Sigma Honor Society (1991) University of Rochester Fellowship (1985–1990) Sanjeev Dewan has advised numerous PhD students who have secured faculty positions at leading institutions such as the University of Wisconsin-Madison, HKUST, Penn State, and the University of Hong Kong. His editorial service includes senior editor roles at Information Systems Research and associate editor at Management Science . He has also chaired tracks at ICIS and served as program co-chair for PACIS. There is no indication of external grant funding in the provided text, but his sustained publication record and leadership roles suggest significant research activity and institutional support. He is actively involved in academic leadership and research dissemination, contributing to major conferences and editorial boards. His work bridges theory and practice, particularly in digital platform ecosystems and analytics-driven decision-making.

Michael PyrczView profile

Professor

• Subsurface Data Analytics
• Geostatistics
• Machine Learning
• +3 more

Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and holds the rank of Associate Professor in the Jackson School of Geosciences at the University of Texas at Austin. He is the recipient of the B. J. Lancaster Professorship in Petroleum Engineering and the George H. Fancher Centennial Teaching Fellowship in Petroleum Engineering. His research focuses on subsurface data analytics, geostatistics, and machine learning applications in energy systems and CO2 sequestration. Pyrcz teaches widely, including through online lectures and GitHub workflows, and has authored over 50 peer-reviewed publications and a textbook on spatial data analytics. His work integrates machine learning with geoscience challenges, such as uncertainty quantification in reservoir modeling and CO2 storage site evaluation. He leads initiatives in energy data analytics through the Freshman Research Initiative and collaborates with industry on workflow development. Key research areas include generative AI for subsurface models, stochastic methods for fracture networks, and anomaly detection in geologic monitoring. Education: Background in petroleum engineering and geosciences (details not explicitly provided). Grants/Advising: Extensive industry collaboration and mentorship roles at Chevron prior to UT Austin. Labs/Teams: Maintains active GitHub repositories (GeostatsGuy), YouTube lecture series (GeostatsGuyLectures), and social media outreach (X/GeostatsGuy).

Kerry FangView profile

Associate Professor

• Economic Development
• Land Use Policy
• Urban Planning
• +6 more

Kerry Fang is an Associate Professor in the Department of Urban & Regional Planning at the University of Illinois Urbana-Champaign. Her research focuses on economic development, land use policy, and their socio-environmental consequences, with interdisciplinary methods spanning economics, statistics, geography, sociology, and computer science. She examines global contexts including the U.S., China, Australia, and Russia. Education: PhD, Urban and Regional Planning and Design, University of Maryland, College Park (2018) MA, Land Management, Zhejiang University (2013) BA, Land Management, Zhejiang University (2011) Research Interests: Corruption in economic development projects Land use programs for coastal resilience Text-mining of planning literature Her work bridges theory and practice, addressing questions like regional inequality and policy efficacy in job creation and innovation. Her recent articles explore topics such as communication networks in development projects, minority-owned business data utilization, and integrating urban data science into economic development curricula. These contributions highlight interdisciplinary approaches to urban challenges. No scientific awards were explicitly mentioned in the provided text. Teaching and Advising: Teaches courses like UP 545: Economic Development Policy and Land Use and Environmental Planning. She advises students on topics intersecting economic development and spatial policy, though specific advisee names are not listed. Labs/Teams: No specific lab or team affiliations were detailed, though her work likely involves collaborations with interdisciplinary research groups.

Samuel W.K. WongView profile

Associate Professor

• Data Science Methodology
• Protein Structure Analysis
• Reliability Engineering
• +4 more

Samuel W.K. Wong is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds a Ph.D. in Statistics from Harvard University (2013) under Prof. Samuel Kou. His research focuses on statistical methodology for complex data science challenges in protein structure modeling, dynamic systems inference, and reliability engineering of wood-based products. He has held academic positions at the University of Florida (2013–2018) and has been at Waterloo since 2018. His research interests include Bayesian computation, statistical inference for dynamic systems, and spatial-temporal data analysis. Notable contributions include the development of manifold-constrained Gaussian processes (MAGI package) and sequential Monte Carlo methods for protein folding studies. He has advised over 15 graduate students and researchers, many of whom are now in academic or industry roles worldwide. Wong has received teaching distinctions at Harvard and holds awards including the Nash Medal (2008) for academic excellence. His work bridges computational statistics with applications in bioinformatics, structural engineering, and environmental science. He has published extensively in top-tier journals like Journal of Computational and Graphical Statistics and Biometrics , and collaborates with wood scientists to improve real-time lumber quality assessment using laser imaging data. His teaching portfolio includes courses on probability theory, statistical inference, and spatial data analysis at both undergraduate and graduate levels. Beyond academia, he maintains an active passion for classical piano performance, having performed recitals combining music with his statistical research interests.

• Bushfire Risk Management
• Environmental Science
• Wildfire Ecology
• +3 more

Owen Price is an Associate Professor and Director in Bushfire Risk Management at the School of Earth, Atmospheric and Life Sciences (SEALS), University of Wollongong. His roles include leading research on wildfire impacts on ecosystems, human health, and infrastructure. He holds a PhD from the Australian National University (1998), an MSc from the University of Strathclyde (1986), and a BSc (hons) from the University of York (1985). Director, Centre for Environmental Risk Management of Bushfire (since 2020) Principal Fellow, SEALS (2019–2021) His research integrates fieldwork, GIS/remote sensing, and statistical modeling to address landscape-scale wildfire risks. Key interests include fire severity effects on biodiversity, smoke pollution impacts, and cost-effective fire management strategies. He supervises postgraduate students in topics like coastal wetland vulnerability and fire regime analysis. Recent grants include studies on coastal wetlands' fire resilience (2023–2026), Bayesian fire spread modeling (2023–2026), and evaluating aerial firefighting efficacy (2023). His work bridges ecological, social, and technical dimensions of wildfire risk. Notable awards and recognitions are not explicitly listed in the provided materials. His contributions to fire policy and community adaptation are highlighted through collaborative projects with government and environmental agencies.

• Applied Dynamical Systems
• Data Science
• Computational Biology
• +3 more

Bjorn Sandstede is the Alumni-Alumnae University Professor of Applied Mathematics at Brown University. His research focuses on applied dynamical systems, nonlinear waves, pattern formation, and computational biology. He holds a PhD from the University of Stuttgart and has held faculty positions at The Ohio State University and the University of Surrey before joining Brown in 2008. Sandstede has received numerous awards, including the SIAM J.D. Crawford Prize and the Royal Society Wolfson Research Merit Award. He served as Department Chair at Brown and directed the Data Science Initiative. His work involves interdisciplinary collaborations, such as modeling zebrafish stripe formation and developing computational tools like SCOT for single-cell data integration. Sandstede also mentors extensively, advising over 30 PhD students and postdoctoral researchers. He leads the NSF-funded Institute for Computational and Experimental Research in Mathematics (ICERM) and contributes to initiatives promoting diversity and inclusion in STEM. Education: PhD in Mathematics, University of Stuttgart Undergraduate Degree, University of Heidelberg Research Interests: Applied Dynamical Systems Nonlinear Waves and Pattern Formation Computational Biology Data Science PDE Analysis Awards and Recognition: Alfred P. Sloan Research Fellowship SIAM J.D. Crawford Prize Royal Society Wolfson Research Merit Award Elsevier Jack Hale Award Teaching Excellence Awards from Brown University Fellow of the AMS and SIAM Grants and Leadership: Principal Investigator of NSF grant establishing ICERM Director of Brown's Data Science Initiative Member of Research Advisory Board and Tenure Committees Labs and Teams: Leads the Sandstede Lab at Brown, focusing on computational biology and dynamical systems. Collaborates with the Volkening Lab on zebrafish pattern modeling and the Singh Lab on optimal transport methods.

Stephanie RogersView profile

Assistant Professor

• Geospatial Technologies
• Environmental Applications
• Water Quality and Contamination
• +6 more

Stephanie Rogers is an Assistant Professor of Geosciences at Auburn University's College of Sciences and Mathematics, specializing in geospatial technologies and environmental applications. She leads the GeoIDEA Lab, focusing on GIScience, water quality modeling, and environmental impacts on honey bee colonies. Her research integrates emerging technologies like drones for ecological monitoring and addresses interdisciplinary challenges such as groundwater management and pollution tracking. Education: PhD in Geosciences from the University of Fribourg, Switzerland. Research Interests: Rogers' work bridges geospatial innovation with real-world problem-solving. Key areas include: GIS-driven environmental monitoring and modeling Drone-based assessment of water quality and algal blooms Groundwater contamination dynamics and public health implications Honey bee colony health through spatial analysis Advising & Grants: Currently mentors two trainees (Bethany Foust and Mallory Jordan) and collaborates on projects funded by environmental agencies. Her grants focus on geospatial data integration for ecological decision-making. Labs/Teams: GeoIDEA Lab coordinates multidisciplinary efforts in environmental geoscience, with active projects in Alabama's Black Belt region and international glacial archaeology initiatives.